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Millions and millions of BIG FAT NOTEBOOKS sold! Pre-Algebra & Algebra 1? No Problem! The BIG FAT NOTEBOOK covers everything you need to know during a year of Pre-Algebra and Algebra 1 class, breaking down one big fat subject into accessible units. Including: The number system, ratios, and proportions, scientific notation, introduction and equations, functions, graphing a line, square roots and cube roots, polynomial operations, quadratic functions, and more. Study better with: -Mnemonic devices -Definitions -Diagrams -Educational doodles -and quizzes to recap it all and get better grades!
National Book Award Finalist: “This man’s ideas may be the most influential, not to say controversial, of the second half of the twentieth century.”—Columbus Dispatch At the heart of this classic, seminal book is Julian Jaynes's still-controversial thesis that human consciousness did not begin far back in animal evolution but instead is a learned process that came about only three thousand years ago and is still developing. The implications of this revolutionary scientific paradigm extend into virtually every aspect of our psychology, our history and culture, our religion—and indeed our future. “Don’t be put off by the academic title of Julian Jaynes’s The Origin of Consciousness in the Breakdown of the Bicameral Mind. Its prose is always lucid and often lyrical…he unfolds his case with the utmost intellectual rigor.”—The New York Times “When Julian Jaynes . . . speculates that until late in the twentieth millennium BC men had no consciousness but were automatically obeying the voices of the gods, we are astounded but compelled to follow this remarkable thesis.”—John Updike, The New Yorker “He is as startling as Freud was in The Interpretation of Dreams, and Jaynes is equally as adept at forcing a new view of known human behavior.”—American Journal of Psychiatry
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How do you approach a math problem that challenges you? Do you keep trying until you reach a solution? Or are you like Amy, who gets frustrated easily and gives up? Amy is usually a happy and enthusiastic student in grade five who loves to dance, but she is struggling with a tough math assignment. She doesn’t think she is good at math because her classmates always get the answers faster than she does and sometimes she uses her fingers to help her count. Even though her mom tries to help her, Amy is convinced she just cannot do math. She decides not to do the assignment at all since she thinks she wouldn’t do well anyway. As Amy goes about her day, her experiences at ballet class, the playground, and gym class have her thinking back to how she gave up on her math assignment. She starts to notice that hard-work, practice, and dedication lead to success, thanks to her friends and teachers. She soon comes to understand that learning math is no different than learning any other skill in life. With some extra encouragement from her math teacher, a little help from her mom, and a new attitude, Amy realizes that she can do math!
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)
Create wonderful dialogue to give your characters a voice! Write conversations and reported speech with Matilda. These fun activities and writing tasks help to develop language and vocabulary skills, giving you the tools you need to write your own story. Learn how to write authentic dialogue, experiment with silence and reveal what a character is thinking. This book sparks creativity, builds confidence and inspires young writers through the wonderful worlds of these best-loved stories. Filled with top tips and ideas boxes, each book introduces techniques and methods to help you plan and write a phizz-whizzing story of your own!
A heartwarming, page-turning adventure about one child's love for his most treasured thing, and how far he will go to find it. A tale for the whole family to fall in love with, from one of the world’s greatest storytellers. One boy and his toy are about to change everything... Jack loves his childhood toy, Dur Pig. DP has always been there for him, through good and bad. Until one Christmas Eve something terrible happens -- DP is lost. But Christmas Eve is a night for miracles and lost causes, a night when all things can come to life... even toys. And Jack’s newest toy -- the Christmas Pig (DP’s replacement) – has a daring plan: Together they’ll embark on a magical journey to seek something lost, and to save the best friend Jack has ever known...